Patent Pathfinder exhibits significant definition quality gaps. While 12 of 13 tools have descriptions (92%), most are generic and lack actionable context for LLM selection. Parameter descriptions are sparse or missing entirely. Input schemas are present but lack type constraints (enums, ranges, patterns). No output schemas are documented. Tool naming is inconsistent: 'ingest_documents' and 'ingest_lens_patents' are aliases (violates single-responsibility); 'map_features_to_passages' lacks a clear verb-noun structure. Error handling is minimal, most tools return bare error dicts without recovery guidance. The server lacks idempotency guarantees, permission gates, and audit trails. Composition is weak: tools do not chain well (e.g., search_patents returns results but no guarantee downstream tools accept the same ID format).

• Remove 'ingest_lens_patents' alias. Keep only 'ingest_documents' as the canonical tool. Reduces LLM confusion and maintenance burden.
• Document output schemas for all tools. Example: map_features_to_passages returns {mappings: [{feature_id: string, feature: string, passage: string|null, score: number|null, citation: string|null, overlap_label: 'covered'|'no_evidence', evidence: string[]}]}. Use JSON Schema in tool definition.
• Add enum constraints to parameters. search_patents 'source' should be enum: ['demo', 'opensearch', 'neo4j']. generate_alerts 'topic' should document valid topics or accept free-form with examples.
• Enhance error responses with recovery guidance. Instead of {'error': 'query is required'}, return {'error': 'query is required', 'guidance': 'Provide a search query like "machine learning patents" or "AI algorithms". Use search_patents to explore available sources first.'}
• Remove or fix search_papers. Either implement it with a real backend or remove it from the tool list. Non-functional tools waste LLM reasoning cycles.